A Reddit user recently discovered something that should frustrate anyone who relies on live stock data in a spreadsheet: the field labels themselves shift during the trading day. One moment you have `[Change]`. The next moment, during extended hours, it becomes `[Change (Extended hours)]`. Then, during pre-market, neither field exists, and your dashboard returns a `#FIELDS` error. This is not a minor inconvenience. It is a fundamental failure of the tool to adapt to the reality it claims to represent.
The core problem here is that traditional spreadsheets treat data labels as static anchors. You write a formula referencing `[Change]`, and the spreadsheet assumes that label will remain valid for the entire life of that workbook. But financial data does not work that way. A stock's "change" during regular trading hours is a different metric than its "change" during extended hours. The data provider, in this case, Refinitiv, dynamically swaps the available fields based on the current market session. The spreadsheet has no mechanism to understand that context. It simply looks for the string you typed, finds nothing, and throws an error. This is the legacy approach: brittle, session-blind, and entirely reactive.
What this means for you is that any dashboard built on traditional Excel stock data types is one market session away from breaking. You can wrap every formula in `IFERROR`, as the user notes, but that only hides the symptom. It does not solve the underlying problem: your data model has no awareness of time or market state. A truly AI-native spreadsheet would not require you to guess which field name will be active at 4:15 PM. It would understand that you want the most recent price change, regardless of the session, and it would resolve the correct field dynamically. It would treat data as a live conversation, not a static reference table.
The user's question, "if anyone has a solution for the fields actually persisting", points to the deeper issue. Persistence is not the answer. Rigidity is the problem. The solution is not to force fields to stay the same. The solution is to build a spreadsheet that understands the context of the data it is pulling. When the market session changes, the field list should update automatically, and your formulas should follow without breaking. That is the standard we should expect. Until then, you are not managing data. You are managing workarounds.